Systems and methods for energy consumption and energy demand management
First Claim
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1. A computer-implemented method comprising:
- collecting energy interval data associated with a building at a time interval, the energy interval data indicative of an energy use associated with the building;
collecting local historical weather data associated with the building;
creating a statistical model for predicting energy use as a function of weather and operational inputs, the statistical model created based on the energy interval data and upon the local historical weather data;
analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms, using the statistical model, the analyzing including decomposing the energy use into multiple categories, and analyzing each of the categories, wherein the analyzing includes;
determining a peak to date energy use value that is indicative of a peak energy use associated with the building until a current time in a specified period,determining, for a forecasted period in the specified period, multiple demand values indicative of predicted energy demand, the demand values including a first set of predicted demand values whose peak probabilities are above their corresponding curtailment probabilities and a second set of predicted demand values whose peak probabilities are below their corresponding curtailment probabilities; and
providing, for display at a computer associated with a user, one or more options to reduce energy bills of the building based on the analysis, the providing including providing the one or more options to reduce the energy bills by reducing the energy use in different categories, wherein the one or more options includes a target value that is indicative of a value to which energy demand in the forecasted period is to be curtailed and a particular period in the forecasted period when the energy demand is to be curtailed, the target value determined as a function of the peak-to-date energy use value, the first set of predicted demand values and the second set of predicted demand values.
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Abstract
Various of the disclosed embodiments contemplate a computer-implemented method of energy consumption and energy demand management in a building. In accordance with some embodiments, interval energy data of a specific building may be collected with a fixed time interval and paired with local historical weather data and other forms of operational data, as well as financial data including historical utility bills, utility rate structures and billing cycle dates. Paired energy interval data and the local historical weather data may be analyzed according to one or more analytic algorithms.
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Citations
20 Claims
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1. A computer-implemented method comprising:
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collecting energy interval data associated with a building at a time interval, the energy interval data indicative of an energy use associated with the building; collecting local historical weather data associated with the building; creating a statistical model for predicting energy use as a function of weather and operational inputs, the statistical model created based on the energy interval data and upon the local historical weather data; analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms, using the statistical model, the analyzing including decomposing the energy use into multiple categories, and analyzing each of the categories, wherein the analyzing includes; determining a peak to date energy use value that is indicative of a peak energy use associated with the building until a current time in a specified period, determining, for a forecasted period in the specified period, multiple demand values indicative of predicted energy demand, the demand values including a first set of predicted demand values whose peak probabilities are above their corresponding curtailment probabilities and a second set of predicted demand values whose peak probabilities are below their corresponding curtailment probabilities; and providing, for display at a computer associated with a user, one or more options to reduce energy bills of the building based on the analysis, the providing including providing the one or more options to reduce the energy bills by reducing the energy use in different categories, wherein the one or more options includes a target value that is indicative of a value to which energy demand in the forecasted period is to be curtailed and a particular period in the forecasted period when the energy demand is to be curtailed, the target value determined as a function of the peak-to-date energy use value, the first set of predicted demand values and the second set of predicted demand values. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for energy consumption and energy demand management, the system comprising:
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one or more processors in a cloud-based platform; and a computer readable device storing instructions which, when executed using said one or more processors, cause the cloud-based platform to perform operations comprising; collecting energy interval data of a building with a fixed time interval, the energy interval data indicative of an energy use associated with the building; collecting local historical weather data associated with the building; creating a statistical model of building energy use based on local weather; analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms, the analyzing including decomposing the energy use into multiple categories by applying the statistical model, and analyzing each of the categories, wherein the analyzing includes; determining a peak-to-date energy use value that is indicative of a peak energy use associated with the building until a current time in a specified period, determining, for a forecasted period in the specified period, multiple demand values indicative of predicted energy demand, the demand values including a first set of predicted demand values whose peak probabilities are above their corresponding curtailment probabilities and a second set of predicted demand values whose curtailment probabilities are below their corresponding curtailment probabilities; and providing, for display at a computer associated with a user, one or more options to reduce energy bills of the building based on the analysis, the providing including providing the one or more options to reduce the energy bills by reducing the energy use in different categories, wherein the one or more options includes a target value that is indicative of a value to which energy demand in the forecasted period is to be curtailed and a particular period in the forecasted period when the energy demand is to be curtailed, the target value determined as a function of the peak-to-date energy use value, the first set of predicted demand values and the second set of predicted demand values. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system for energy consumption and energy demand management comprising:
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a rate engine configured to simulate utility tariff logic; one or more processors in a cloud-based platform; and a computer readable device storing instructions which, when executed using said one or more processors, cause the system to perform operations comprising; collecting energy interval data of a building with a fixed time interval, the energy interval data indicative of an energy use associated with the building; collecting local historical weather data associated with the building; creating a statistical model of building energy use based on local weather; analyzing paired energy interval data and local historical weather data according to one or more analytic algorithms, the analyzing including decomposing the energy use into multiple categories by applying the statistical model, and analyzing each of the categories, wherein the analyzing includes; determining a peak-to-date energy use value that is indicative of a peak energy use associated with the building until a current time in a specified period, determining, for a forecasted period in the specified period, multiple demand values indicative of predicted energy demand, the demand values including a first set of predicted demand values whose peak probabilities are above their corresponding curtailment probabilities and a second set of predicted demand values whose peak probabilities are below their corresponding curtailment probabilities; and providing, for display at a computer associated with a user, one or more options to reduce energy bills of the building based on the analysis and based upon utility tariff logic generated by the rate engine, the providing including providing the one or more options to reduce the energy bills by reducing the energy use in different categories, wherein the one or more options includes a target value that is indicative of a value to which energy demand in the forecasted period is to be curtailed and a particular period in the forecasted period when the energy demand is to be curtailed, the target value determined as a function of the peak-to-date energy use value, the first set of predicted demand values and the second set of predicted demand values. - View Dependent Claims (20)
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Specification